A5045251816- Spatial and Panel Data Analysis
- Regional Economics and Spatial Analysis
- Local Government Finance and Decentralization
- Regional Development and Policy
- Polish socio-economic development
- Fiscal Policy and Economic Growth
- Regional Economic and Spatial Analysis
- Housing Market and Economics
- Corporate Taxation and Avoidance
- Urban Transport and Accessibility
- Economic and Environmental Valuation
- Local Governance and Planning
- Land Use and Ecosystem Services
- Economic Growth and Productivity
- Consumer Retail Behavior Studies
- Soil Geostatistics and Mapping
- Human Mobility and Location-Based Analysis
- Economic and Fiscal Studies
- Agricultural economics and policies
- Geochemistry and Geologic Mapping
- 3D Modeling in Geospatial Applications
- Impact of Light on Environment and Health
- Consumer Market Behavior and Pricing
- Labour Market and Migration
- Socio-economic Development and Sustainability
University of Warsaw
2014-2024
This study is a comprehensive and modern approach to predict customer churn in the example of an e-commerce retail store operating Brazil. Our consists three stages which we combine use different datasets: numerical data on orders, textual after-purchase reviews socio-geo-demographic from census. At pre-processing stage, find topics text using Latent Dirichlet Allocation, Multinomial Mixture Gibbs sampling. In spatial analysis, apply DBSCAN get rural/urban locations analyse neighbourhoods...
Abstract This paper is a methodological guide to using machine learning in the spatial context. It provides an overview of existing toolbox proposed literature: unsupervised learning, which deals with clustering data, and supervised displaces classical econometrics. shows potential this developing methodology, as well its pitfalls. catalogues comments on usage methods (for locations values, both separately jointly) for mapping, bootstrapping, cross-validation, GWR modelling density...
This study investigates the impact of ambient air pollution on housing prices in Warsaw, Poland, by examining spatial dependencies. The high concentration particulate matter (PM
Spatial panels are a powerful econometric tool for the estimation of space-dependent cross-sectional time-series models economic phenomena. A plethora parameters and possible specifications require systematic approach to estimation. This paper presents strategy be considered in applied research on policy, including concept spatial spillovers its local global effects, direct indirect impacts, as well role different weighting schemes. The fiscal factors affecting GDP between years 2002–2015...
We use the Akaike information criterion (AIC) to assess quality of non-nested spatial econometric models with a different number nearest neighbours (knn) included in weight matrix W. This is particular importance two cases: when estimating model on geolocated point data without explicit guidance optimal value knn; and dealing patterns unique W generalizes diverse structures. By minimizing AIC for set competing models, one can find knn that guarantees best fit. show through simulation...
This paper fills the gap in rich housing literature by testing spatio-temporal stability of real estate submarkets. We start with standard Geographically Weighted Regression (GWR) estimation hedonic model on point data, and we cluster coefficients to detect check - add novelty comparing if clusters move over space or stay same place. rasterise surface apply Rand Index Jaccard Similarity assigned raster cells yield stable spatial structure. approach allows for quantitative assessments how...
This study presents the determinants of childhood stunting as consequence child malnutrition. We checked two groups factors—the socio-economic situation and climate vulnerability—using disaggregated sub-regional data in spatial context. Data related to percentage stunted children Pakistan for 2017 were retrieved from MICS 2017-18 along with other features. used three quantitative models: ordinary least squares regression (OLS) examine linear relationships among selected features, (SDEM)...
E-commerce in the furniture industry is specific as delivery of heavy and oversized parcels with traditional channels not feasible. Alternative solutions, aside from stationary shops, include pick-up points which combine e-commerce purchasing collection. Convenient locations that support environmental sustainability offer cost savings a domain Spatial Customer Relationship Management (CRM), enough discussed literature. In this paper we develop CRM for location strategy industry, using IKEA...
Does space matter for local governments in the implementation of development policies? Geographical distance is believed to weaken transmission socioeconomic policy. Peripherally located may be weaker than those centrally governments. Polish from 1995–2007 were assessed based on performance indicators. The results show that effective range regional centres limited adjacent municipalities within a 25 km and other should considered as having peripheral significance.
It is claimed that tax policy neither time- nor space-independent due to cross-border base mobility, which induces spillovers. Specifically, fiscal shocks in one country are supposed have an impact on policies other countries. Different types of taxes influence economies differently. This paper addresses the question their government debt. Within a framework spatial econometric modeling, we evaluate capital, labor and consumption public debt 34 European countries 2002–2011, find strong We...
The relative location of commercial properties as the distance to metro station well its absolute address in Central Business District (CBD) is expected influence valuation. We apply advanced spatial econometric methodology, based on micro geo-located data, office rental transaction data from London 2015. use different information local and global neighbourhood order estimate hedonic valuation model test strength spillovers effects fees. For offices 2015, geographical factors may raise price...
The inequalities among countries and their bilateral relationship affect the asymmetry of rules in double taxation agreements. appears when one country prefers tax credit while another exemption, for same type income. According to literature, involve trade, investment relations, economy size competition. However, relative importance these factors design treaties is not recognised well. To address this problem we use ANOVA, Hierarchical Linear Model Ordered Logistic Regression with spatial...
Abstract Accessibility of transport infrastructure, commercial amenities, recreational facilities, and green spaces is widely recognised as crucial to the well-being urban residents. However, these features are often unevenly distributed across geographical boundaries a city, leading disparities in local quality life. This study focuses on city Warsaw, Poland, uses aforementioned characteristics framework '15-min city' concept construct grid-level Quality Life Index (QOLI) that facilitates...
This paper develops a new methodology of spatial econometric modelling for regional public investment in local economies. The approach, based on the financial concept net present value cash flows, can be applied analysis with long-term inputs and outputs. With revenues related to spending model, one observe economies scale possible saturation effects marginal multiplier, explaining extent which costs translate into revenues. main advantage proposed model is behave counter-cyclically due...